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Table 2 Summary of variance component estimates in the three datasets

From: Genomic prediction in early selection stages using multi-year data in a hybrid rye breeding program

Dataset

TS

VS

G

GY

L

GL

YL

GYL

ac(GL,GYL)

GER&PL

TS1

VS1

0.00

6.44

145.10

0.00

93.30

4.48

na

GER&PL

TS1

VS2

2.29

2.19

109.86

1.36

161.58

3.71

–0.89

GER&PL

TS1

VS3

6.45

2.72

166.48

2.41

117.31

5.08

–0.92

GER

TS1

VS1

6.75

0.58

143.57

1.11

92.65

3.83

–0.89

GER

TS1

VS2

3.74

1.04

113.46

1.08

169.73

4.03

–0.88

GER

TS1

VS3

4.55

0.93

173.53

1.41

108.66

4.68

–0.92

PL

TS1

VS1

0.00

5.68

160.05

0.00

85.39

4.28

na

PL

TS1

VS2

0.00

3.41

108.72

1.72

155.03

3.03

–0.90

PL

TS1

VS3

0.00

11.28

173.99

3.24

94.82

5.17

–0.98

GER&PL

TS2

VS1

5.85

1.77

132.51

0.80

89.24

3.17

–0.96

GER&PL

TS2

VS2

4.18

1.54

110.06

1.27

149.52

2.78

–0.96

GER&PL

TS2

VS3

7.42

1.56

166.22

1.60

108.97

3.92

–0.97

GER

TS2

VS1

8.00

0.29

142.97

1.15

89.21

3.06

–0.93

GER

TS2

VS2

5.98

0.44

112.15

1.49

161.93

2.92

–0.94

GER

TS2

VS3

6.89

0.13

172.96

1.62

109.00

3.44

–0.93

PL

TS2

VS1

0.00

6.12

135.17

0.00

84.60

4.17

na

PL

TS2

VS2

0.00

4.22

89.73

0.004

155.83

4.00

–0.97

PL

TS2

VS3

0.00

9.97

158.31

0.00

92.84

6.13

na

GER&PL

TS3

VS1

2.24

4.53

163.69

0.68

86.92

3.89

–0.87

GER&PL

TS3

VS2

5.09

1.51

159.44

1.11

93.36

4.07

–0.81

GER&PL

TS3

VS3

7.32

1.02

176.06

1.18

85.59

4.84

–0.86

GER

TS3

VS1

7.19

1.10

170.60

0.78

86.35

3.66

–0.80

GER

TS3

VS2

7.02

0.38

186.59

1.18

84.42

4.14

–0.80

GER

TS3

VS3

7.01

0.32

166.34

1.16

88.32

3.69

–0.76

PL

TS3

VS1

0.00

5.33

156.13

0.77

84.70

3.80

–0.94

PL

TS3

VS2

0.67

5.00

144.19

0.97

93.47

4.10

–0.85

PL

TS3

VS3

5.19

3.61

161.72

0.99

81.25

5.20

–0.90

  1. German and Polish together (GER&PL), only German (GE) and only Polish (PL), for all the training set (TS) and validation set (VS) combinations. Reported effects use the factors: Genotypes (G), year (Y) and location (L). ac(GL,GYL) is the asymptotic correlation between variance component estimates of GL and GYL effects. na represents non-estimable values due to a zero value of a variance component
  2. TS1: GCA1-2009 + GCA2-2010 + GCA3-2011, TS2: GCA1-2009 + GCA2-2010 + GCA1-2010 + GCA2-2011, TS3: GCA1-2009 + GCA2-2010 + GCA3-2011 + GCA1-2010 + GCA2-2011 + GCA3-2012 + GCA1-2011 + GCA2-2012 + GCA3-2013, VS1: GCA1-2012, VS2: GCA1-2013, VS3: GCA1-2014